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Development of a comprehensive evaluation index system for community-based rehabilitation interventions for patients with severe mental disorders
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Lan WU1, Lei LEI2, Xiao-rong QIN3, Xiao-fan PENG1, Xiao-jing ZHANG1, Yuan-yuan LIU1, Xiang LIU4, Xian-mei YANG2
Modern Preventive Medicine | 2026, 53(16) : 2956 - 2961
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Modern Preventive Medicine | 2026, 53(16): 2956-2961
• Primary Health Service •
Development of a comprehensive evaluation index system for community-based rehabilitation interventions for patients with severe mental disorders
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Lan WU1, Lei LEI2, Xiao-rong QIN3, Xiao-fan PENG1, Xiao-jing ZHANG1, Yuan-yuan LIU1, Xiang LIU4, Xian-mei YANG2
Affiliations
  • Department of Epidemiology and Health Statistics, West China School of Public Health, West China Fourth Hospital,Sichuan University, Chengdu, Sichuan 610041, China
Published: 2026-08-25 doi: 10.20043/j.cnki.MPM.202603459
Outline
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Objective

To develop a comprehensive evaluation index system for community-based rehabilitation interventions tailored to China, addressing various adverse outcomes among patients with severe mental disorders, and to provide an assessment tool for improving the community-based rehabilitation management system at the grassroots level.

Methods

The indicator system was developed based on the World Health Organization’s International Classification of Functioning, Disability and Health (ICF) framework, in conjunction with China’s guidelines for the management and treatment of severe mental disorders. Using the Delphi expert consultation method, we conducted two rounds of expert consultations with 15 experts to select the evaluation indicators, and then applied the Analytic Hierarchy Process (AHP) to calculate the weights of each indicator, thereby establishing an indicator system.

Results

The questionnaire response rate was 100% in both rounds of expert consultation, with an expert authority coefficient of 0.85. The final indicator system comprises 4 first-level indicators, 13 second-level indicators, and 22 third-level indicators. The first-level indicators, ranked by weight from highest to lowest, are: risk behaviors (0.389 0), disease status (0.273 4), social functions (0.224 6), and mental functions (0.113 0).

Conclusion

The indicator system developed in this study focuses on the comprehensive rehabilitation levels of patients with severe mental disorders across multiple dimensions of adverse outcomes. It demonstrates good scientific validity and reliability and can serve as an assessment tool for evaluating community-based rehabilitation outcomes and improving services.

Severe mental disorders  /  Community-based rehabilitation  /  Indicator system  /  Delphi method  /  Analytic Hierarchy Process
巫岚, 雷蕾, 秦小荣, 彭小凡, 张晓婧, 刘元元, 刘祥, 杨先梅. 严重精神障碍患者社区康复干预效果综合评价指标体系构建研究. 现代预防医学, 2026 , 53 (16) : 2956 -2961 . DOI: 10.20043/j.cnki.MPM.202603459
Lan WU, Lei LEI, Xiao-rong QIN, Xiao-fan PENG, Xiao-jing ZHANG, Yuan-yuan LIU, Xiang LIU, Xian-mei YANG. Development of a comprehensive evaluation index system for community-based rehabilitation interventions for patients with severe mental disorders[J]. Modern Preventive Medicine, 2026 , 53 (16) : 2956 -2961 . DOI: 10.20043/j.cnki.MPM.202603459
Year 2026 volume 53 Issue 16
329
150
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doi: 10.20043/j.cnki.MPM.202603459
  • Receive Date:2026-03-31
  • Online Date:2026-09-28
  • Published:2026-08-25
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  • Received:2026-03-31
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    Department of Epidemiology and Health Statistics, West China School of Public Health, West China Fourth Hospital,Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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